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出口箱随机入港下的码头泊位-集卡-箱区协调调度模型

陈超 邱建梅 台伟力

陈超, 邱建梅, 台伟力. 出口箱随机入港下的码头泊位-集卡-箱区协调调度模型[J]. 交通运输工程学报, 2014, 14(6): 92-99.
引用本文: 陈超, 邱建梅, 台伟力. 出口箱随机入港下的码头泊位-集卡-箱区协调调度模型[J]. 交通运输工程学报, 2014, 14(6): 92-99.
CHEN Chao, QIU Jian-mei, TAI Wei-li. Coordinated scheduling model of berth-truck-block at container terminal with random arrival of export containers[J]. Journal of Traffic and Transportation Engineering, 2014, 14(6): 92-99.
Citation: CHEN Chao, QIU Jian-mei, TAI Wei-li. Coordinated scheduling model of berth-truck-block at container terminal with random arrival of export containers[J]. Journal of Traffic and Transportation Engineering, 2014, 14(6): 92-99.

出口箱随机入港下的码头泊位-集卡-箱区协调调度模型

基金项目: 

国家自然科学基金项目 71372086

详细信息
    作者简介:

    陈超(1955-), 男, 辽宁大连人, 大连海事大学教授, 从事集装箱物流系统规划研究

  • 中图分类号: U691.3

Coordinated scheduling model of berth-truck-block at container terminal with random arrival of export containers

More Information
  • 摘要: 针对出口箱随机入港分散堆放对码头装卸作业系统泊位分配、集卡路径与箱区选择的影响, 分析了甲板箱与舱内箱的不同装卸特点。以船舶停靠泊位和进口箱堆放箱区为决策变量, 以集卡行驶距离最短为目标函数, 构建了离散泊位状况下泊位-集卡-箱区协调调度混合整数规划模型。通过三层依次交叉, 开发了基于遗传算法的三层启发式算法, 上层搜索泊位数据, 中间层搜索船舶数据, 下层搜索进口箱箱区数据, 并进行实例验证。计算结果表明: 与传统方法相比, 应用离散泊位下泊位-集卡-箱区协调调度混合整数规划模型可以同步确定最优的船舶停靠泊位、进口箱堆放箱区、集卡行驶路径, 集卡行驶总距离缩短11.42%, 码头装卸作业系统效率明显提高。可见, 提出的模型有效。

     

  • 图  1  集卡作业方法

    Figure  1.  Truck working methods

    图  2  遗传算法流程

    Figure  2.  Genetic algorithm flow

    图  3  初始染色体

    Figure  3.  Initial chromosome

    图  4  染色体交叉

    Figure  4.  Chromosome crossover

    图  5  堆场布局

    Figure  5.  Yard layout

    表  1  船舶抵港时间与作业信息

    Table  1.   Arriving times and working informations of ships

    下载: 导出CSV

    表  2  船舶作业量

    Table  2.   Ship working volumes

    下载: 导出CSV

    表  3  集卡路径优化结果

    Table  3.   Optimal results of truck routes

    下载: 导出CSV

    表  4  计算结果比较

    Table  4.   Comparison of calculation results

    下载: 导出CSV
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出版历程
  • 收稿日期:  2014-07-13
  • 刊出日期:  2014-12-25

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